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Found 5 papers, 0 papers with code
Multiple Latent Space Mapping for Compressed Dark Image Enhancement
Since texture details intertwine with compression artifacts in compressed dark images, detail enhancement and blocking artifacts suppression contradict each other in image space.
Shadow-Oriented Tracking Method for Multi-Target Tracking in Video-SAR
To avoid missed tracking, a detection method based on deep learning is designed to thoroughly learn shadows' features, thus increasing the accurate estimation.
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study
Adhering to it, a model-based deep learning network is designed to restore the image.
Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework
Current methods obtain undifferentiated results that suffer task-depended information retrieval loss and thus don't meet the task's specific demands well.
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging
To address that, we propose a new model-data-driven network to achieve tomoSAR imaging based on multi-dimensional features.
